Generative AI in Journalism

This book offers global perspectives on how generative artificial intelligence (GenAI) is reshaping journalism across diverse media systems and professional contexts in the Global North and Global South. Bringing together conceptual, theoretical, empirical, and critical perspectives, the volume examines the evolving role of GenAI in news gathering, production, distribution, and editorial decision-making. As GenAI becomes increasingly embedded in journalistic practice, its opportunities are accompanied by significant professional, ethical, and regulatory challenges. Questions surrounding accuracy, accountability, authenticity, transparency, editorial independence, and public trust have become increasingly important, alongside emerging debates about AI governance and responsible use. While research on GenAI and journalism is expanding rapidly, existing scholarship remains fragmented and geographically uneven, with limited comparative understanding of how these technologies are being adopted, negotiated, and governed across different journalistic and media contexts. Addressing these gaps, this volume brings together diverse international perspectives on the practices, challenges, and future directions of GenAI in journalism. It offers theoretically informed and empirically grounded insights for journalists, educators, policymakers, and media scholars seeking to understand and navigate the rapidly evolving relationship between artificial intelligence and journalism.